基于模型上下文协议(MCP)的富途证券行情交易接口服务器。将富途OpenAPI功能以标准化的MCP协议提供给AI模型使用，支持行情订阅、数据查询等功能。

• 🔌 完全兼容 MCP 2.0 协议标准
• 📊 支持港股、美股、A股等市场的实时行情
• 🔄 支持实时数据订阅和推送
• 📈 支持K线、逐笔、买卖盘等多维度数据
• 🔒 安全的API调用和数据访问机制
• 🛠 提供完整的开发工具和示例代码

在使用本项目之前，您需要：

1. 拥有富途证券账户并开通OpenAPI权限
2. 安装并运行富途的OpenD网关程序（官方文档）
3. 根据您的需求订阅相应的行情权限

• 请勿在代码中硬编码任何账号密码信息
• 确保.env文件已添加到.gitignore中
• 妥善保管您的API访问凭证
• 遵守富途OpenAPI的使用条款和限制

本项目是一个开源工具，旨在简化富途OpenAPI的接入流程。使用本项目时请注意：

1. 遵守相关法律法规和富途OpenAPI的使用条款
2. 自行承担使用本项目进行交易的风险
3. 本项目不提供任何投资建议
4. 使用本项目前请确保您已获得所需的行情权限

• Standard MCP 2.0 protocol compliance
• Comprehensive Futu API coverage
• Real-time data subscription support
• Market data access
• Derivatives information
• Account query capabilities
• Resource-based data access
• Interactive prompts for analysis

• Python 3.10+
• Futu OpenAPI SDK
• Model Context Protocol SDK
• uv (recommended)

1. Clone the repository:

git clone https://github.com/yourusername/futu-stock-mcp-server.git
cd futu-stock-mcp-server

2. Install uv:

# macOS/Linux
curl -LsSf https://astral.sh/uv/install.sh | sh

# Windows (PowerShell)
powershell -c "irm https://astral.sh/uv/install.ps1 | iex"

3. Create and activate a virtual environment:

# Create virtual environment
uv venv

# Activate virtual environment
# On macOS/Linux:
source .venv/bin/activate
# On Windows:
.venv\Scripts\activate

4. Install dependencies:

# Install in editable mode
uv pip install -e .

5. Copy the environment file and configure:

cp .env.example .env

Edit the .env file with your server settings:

HOST=0.0.0.0
PORT=8000
FUTU_HOST=127.0.0.1
FUTU_PORT=11111

Add new dependencies to pyproject.toml:

[project]
dependencies = [
    # ... existing dependencies ...
    "new-package>=1.0.0",
]

Then update your environment:

uv pip install -e .

This project uses Ruff for code linting and formatting. The configuration is in pyproject.toml:

[tool.ruff]
line-length = 100
target-version = "py38"

[tool.ruff.lint]
select = ["E", "F", "I", "N", "W", "B", "UP"]

Run linting:

uv pip install ruff
ruff check .

Run formatting:

ruff format .

1. Start the server:

python -m futu_stock_mcp_server.server

2. Connect to the server using an MCP client:

from mcp import ClientSession, StdioServerParameters
from mcp.client.stdio import stdio_client

async def main():
    server_params = StdioServerParameters(
        command="python",
        args=["src/server.py"]
    )
    
    async with stdio_client(server_params) as (read, write):
        async with ClientSession(read, write) as session:
            # Initialize the connection
            await session.initialize()
            
            # List available tools
            tools = await session.list_tools()
            
            # Call a tool
            result = await session.call_tool(
                "get_stock_quote",
                arguments={"symbols": ["HK.00700"]}
            )
            
            # Access a resource
            content, mime_type = await session.read_resource(
                "market://HK.00700"
            )
            
            # Get a prompt
            prompt = await session.get_prompt(
                "market_analysis",
                arguments={"symbol": "HK.00700"}
            )

if __name__ == "__main__":
    import asyncio
    asyncio.run(main())

• get_stock_quote: Get stock quote data
• get_market_snapshot: Get market snapshot
• get_cur_kline: Get current K-line data
• get_history_kline: Get historical K-line data
• get_rt_data: Get real-time data
• get_ticker: Get ticker data
• get_order_book: Get order book data
• get_broker_queue: Get broker queue data

• subscribe: Subscribe to real-time data
• unsubscribe: Unsubscribe from real-time data

• get_option_chain: Get option chain data
• get_option_expiration_date: Get option expiration dates
• get_option_condor: Get option condor strategy data
• get_option_butterfly: Get option butterfly strategy data

• get_account_list: Get account list
• get_asset_info: Get asset information
• get_asset_allocation: Get asset allocation information

• get_market_state: Get market state
• get_security_info: Get security information
• get_security_list: Get security list

Filter stocks based on various conditions.

Parameters:

• base_filters (optional): List of basic stock filters

  {
      "field_name": int,  # StockField enum value
      "filter_min": float,  # Optional minimum value
      "filter_max": float,  # Optional maximum value
      "is_no_filter": bool,  # Optional, whether to skip filtering
      "sort_dir": int  # Optional, sort direction
  }

• accumulate_filters (optional): List of accumulate filters

  {
      "field_name": int,  # AccumulateField enum value
      "filter_min": float,
      "filter_max": float,
      "is_no_filter": bool,
      "sort_dir": int,
      "days": int  # Required, number of days to accumulate
  }

• financial_filters (optional): List of financial filters

  {
      "field_name": int,  # FinancialField enum value
      "filter_min": float,
      "filter_max": float,
      "is_no_filter": bool,
      "sort_dir": int,
      "quarter": int  # Required, financial quarter
  }

• market (optional): Market code (e.g. "HK.Motherboard", "US.NASDAQ")
• page (optional): Page number, starting from 1 (default: 1)
• page_size (optional): Number of results per page, max 200 (default: 200)

Supported Market Codes:

• HK.Motherboard: Hong Kong Main Board
• HK.GEM: Hong Kong GEM
• HK.BK1911: H-Share Main Board
• HK.BK1912: H-Share GEM
• US.NYSE: NYSE
• US.AMEX: AMEX
• US.NASDAQ: NASDAQ
• SH.3000000: Shanghai Main Board
• SZ.3000001: Shenzhen Main Board
• SZ.3000004: Shenzhen ChiNext

Example:

# Get stocks with price between 10 and 50 HKD in Hong Kong Main Board
filters = {
    "base_filters": [{
        "field_name": 5,  # Current price
        "filter_min": 10.0,
        "filter_max": 50.0
    }],
    "market": "HK.Motherboard"
}
result = await client.get_stock_filter(**filters)

Notes:

• Limited to 10 requests per 30 seconds
• Each page returns maximum 200 results
• Recommended to use no more than 250 filter conditions
• Maximum 10 accumulate conditions of the same type
• Dynamic data sorting (like current price) may change between pages
• Cannot compare different types of indicators (e.g. MA5 vs EMA10)

• market://{symbol}: Get market data for a symbol
• kline://{symbol}/{ktype}: Get K-line data for a symbol

• market_analysis: Create a market analysis prompt
• option_strategy: Create an option strategy analysis prompt

The server follows the MCP 2.0 error response format:

{
    "jsonrpc": "2.0",
    "id": "request_id",
    "error": {
        "code": -32000,
        "message": "Error message",
        "data": null
    }
}

• The server uses secure WebSocket connections
• All API calls are authenticated through the Futu OpenAPI
• Environment variables are used for sensitive configuration

To add a new tool, use the @mcp.tool() decorator:

@mcp.tool()
async def new_tool(param1: str, param2: int) -> Dict[str, Any]:
    """Tool description"""
    # Implementation
    return result

To add a new resource, use the @mcp.resource() decorator:

@mcp.resource("resource://{param1}/{param2}")
async def new_resource(param1: str, param2: str) -> Dict[str, Any]:
    """Resource description"""
    # Implementation
    return result

To add a new prompt, use the @mcp.prompt() decorator:

@mcp.prompt()
async def new_prompt(param1: str) -> str:
    """Prompt description"""
    return f"Prompt template with {param1}"

MIT License

Get stock quote data for given symbols.

symbols = ["HK.00700", "US.AAPL", "SH.600519"]
result = await session.call_tool("get_stock_quote", {"symbols": symbols})

Returns quote data including price, volume, turnover, etc.

Get market snapshot for given symbols.

symbols = ["HK.00700", "US.AAPL", "SH.600519"]
result = await session.call_tool("get_market_snapshot", {"symbols": symbols})

Returns comprehensive market data including price, volume, bid/ask prices, etc.

Get current K-line data.

result = await session.call_tool("get_cur_kline", {
    "symbol": "HK.00700",
    "ktype": "K_1M",  # K_1M, K_5M, K_15M, K_30M, K_60M, K_DAY, K_WEEK, K_MON
    "count": 100
})

Get historical K-line data.

result = await session.call_tool("get_history_kline", {
    "symbol": "HK.00700",
    "ktype": "K_DAY",
    "start": "2024-01-01",
    "end": "2024-03-31"
})

Get real-time trading data.

result = await session.call_tool("get_rt_data", {"symbol": "HK.00700"})

Get ticker data (detailed trades).

result = await session.call_tool("get_ticker", {"symbol": "HK.00700"})

Get order book data.

result = await session.call_tool("get_order_book", {"symbol": "HK.00700"})

Get broker queue data.

result = await session.call_tool("get_broker_queue", {"symbol": "HK.00700"})

Subscribe to real-time data.

result = await session.call_tool("subscribe", {
    "symbols": ["HK.00700", "US.AAPL"],
    "sub_types": ["QUOTE", "TICKER", "K_1M"]
})

Subscription types:

• "QUOTE": Basic quote
• "ORDER_BOOK": Order book
• "TICKER": Trades
• "RT_DATA": Real-time data
• "BROKER": Broker queue
• "K_1M" to "K_MON": K-line data

Unsubscribe from real-time data.

result = await session.call_tool("unsubscribe", {
    "symbols": ["HK.00700", "US.AAPL"],
    "sub_types": ["QUOTE", "TICKER"]
})

Get option chain data.

result = await session.call_tool("get_option_chain", {
    "symbol": "HK.00700",
    "start": "2024-04-01",
    "end": "2024-06-30"
})

Get option expiration dates.

result = await session.call_tool("get_option_expiration_date", {
    "symbol": "HK.00700"
})

Get option condor strategy data.

result = await session.call_tool("get_option_condor", {
    "symbol": "HK.00700",
    "expiry": "2024-06-30",
    "strike_price": 350.0
})

Get option butterfly strategy data.

result = await session.call_tool("get_option_butterfly", {
    "symbol": "HK.00700",
    "expiry": "2024-06-30",
    "strike_price": 350.0
})

Get account list.

result = await session.call_tool("get_account_list", {"random_string": "dummy"})

Get account funds information.

result = await session.call_tool("get_funds", {"random_string": "dummy"})

Get account positions.

result = await session.call_tool("get_positions", {"random_string": "dummy"})

Get maximum trading power.

result = await session.call_tool("get_max_power", {"random_string": "dummy"})

Get margin ratio for a security.

result = await session.call_tool("get_margin_ratio", {"symbol": "HK.00700"})

Get market state.

result = await session.call_tool("get_market_state", {"market": "HK"})

Available markets: "HK", "US", "SH", "SZ"

Get security information.

result = await session.call_tool("get_security_info", {
    "market": "HK",
    "code": "00700"
})

Get security list for a market.

result = await session.call_tool("get_security_list", {"market": "HK"})

Get filtered stock list based on conditions.

result = await session.call_tool("get_stock_filter", {
    "market": "HK.Motherboard",
    "base_filters": [{
        "field_name": 1,  # Price
        "filter_min": 10.0,
        "filter_max": 50.0,
        "sort_dir": 1  # Ascending
    }],
    "page": 1,
    "page_size": 50
})

Get current server time.

result = await session.call_tool("get_current_time", {"random_string": "dummy"})

Returns timestamp, formatted datetime, date, time and timezone.